{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>162542</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1057.31</td>\n",
       "      <td>88.75</td>\n",
       "      <td>177.72</td>\n",
       "      <td>132.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:00:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>162644</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>749.12</td>\n",
       "      <td>103.79</td>\n",
       "      <td>240.38</td>\n",
       "      <td>149.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:01:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>162742</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>845.84</td>\n",
       "      <td>136.31</td>\n",
       "      <td>225.73</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:02:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>162808</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1305.52</td>\n",
       "      <td>90.12</td>\n",
       "      <td>196.61</td>\n",
       "      <td>145.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:03:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>162943</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>568.89</td>\n",
       "      <td>138.45</td>\n",
       "      <td>232.02</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:04:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>162967</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>521.28</td>\n",
       "      <td>80.64</td>\n",
       "      <td>126.17</td>\n",
       "      <td>104.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:05:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>163048</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>464.84</td>\n",
       "      <td>115.97</td>\n",
       "      <td>224.42</td>\n",
       "      <td>154.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:06:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>163207</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>337.58</td>\n",
       "      <td>75.58</td>\n",
       "      <td>262.00</td>\n",
       "      <td>168.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:07:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>163290</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>773.22</td>\n",
       "      <td>107.14</td>\n",
       "      <td>207.33</td>\n",
       "      <td>154.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:08:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>163382</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>669.66</td>\n",
       "      <td>140.26</td>\n",
       "      <td>225.21</td>\n",
       "      <td>167.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:09:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>163474</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>284.78</td>\n",
       "      <td>137.23</td>\n",
       "      <td>147.55</td>\n",
       "      <td>142.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:10:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>163559</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>281.44</td>\n",
       "      <td>107.79</td>\n",
       "      <td>173.65</td>\n",
       "      <td>140.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:11:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>163738</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>744.09</td>\n",
       "      <td>124.09</td>\n",
       "      <td>184.19</td>\n",
       "      <td>148.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:13:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>163817</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>502.55</td>\n",
       "      <td>124.74</td>\n",
       "      <td>228.34</td>\n",
       "      <td>167.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:14:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>163856</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>606.09</td>\n",
       "      <td>110.09</td>\n",
       "      <td>219.45</td>\n",
       "      <td>151.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:15:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>163999</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>189.27</td>\n",
       "      <td>189.27</td>\n",
       "      <td>189.27</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:16:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>164086</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>259.86</td>\n",
       "      <td>109.71</td>\n",
       "      <td>150.15</td>\n",
       "      <td>129.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:17:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>164127</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>679.70</td>\n",
       "      <td>131.87</td>\n",
       "      <td>215.20</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:18:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>164222</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>431.32</td>\n",
       "      <td>86.83</td>\n",
       "      <td>240.35</td>\n",
       "      <td>143.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:19:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>164334</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>312.04</td>\n",
       "      <td>143.40</td>\n",
       "      <td>168.64</td>\n",
       "      <td>156.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:20:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>164449</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>131.97</td>\n",
       "      <td>131.97</td>\n",
       "      <td>131.97</td>\n",
       "      <td>131.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:21:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>164500</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>587.98</td>\n",
       "      <td>133.60</td>\n",
       "      <td>299.42</td>\n",
       "      <td>195.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:22:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>164555</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>765.89</td>\n",
       "      <td>86.26</td>\n",
       "      <td>215.45</td>\n",
       "      <td>153.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:23:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>164625</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>339.82</td>\n",
       "      <td>117.91</td>\n",
       "      <td>221.91</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:24:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>164727</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>515.23</td>\n",
       "      <td>120.84</td>\n",
       "      <td>142.90</td>\n",
       "      <td>128.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:25:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>164812</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>580.40</td>\n",
       "      <td>118.73</td>\n",
       "      <td>240.84</td>\n",
       "      <td>193.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:26:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>164860</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>471.82</td>\n",
       "      <td>104.81</td>\n",
       "      <td>200.54</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:27:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>165034</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>316.66</td>\n",
       "      <td>99.38</td>\n",
       "      <td>217.28</td>\n",
       "      <td>158.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:29:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>165136</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>786.39</td>\n",
       "      <td>142.04</td>\n",
       "      <td>233.86</td>\n",
       "      <td>196.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:30:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>165186</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>665.86</td>\n",
       "      <td>127.24</td>\n",
       "      <td>212.55</td>\n",
       "      <td>166.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:31:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179466</th>\n",
       "      <td>13436928</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>1749.38</td>\n",
       "      <td>109.36</td>\n",
       "      <td>219.32</td>\n",
       "      <td>159.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:41:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179467</th>\n",
       "      <td>13436998</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>14</td>\n",
       "      <td>3621.72</td>\n",
       "      <td>103.97</td>\n",
       "      <td>1194.12</td>\n",
       "      <td>258.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:42:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179468</th>\n",
       "      <td>13437067</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1692.43</td>\n",
       "      <td>88.15</td>\n",
       "      <td>493.56</td>\n",
       "      <td>211.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:43:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179469</th>\n",
       "      <td>13437178</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>2496.29</td>\n",
       "      <td>98.70</td>\n",
       "      <td>946.82</td>\n",
       "      <td>312.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:44:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179470</th>\n",
       "      <td>13437254</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>1004.29</td>\n",
       "      <td>159.22</td>\n",
       "      <td>342.42</td>\n",
       "      <td>251.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:45:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179471</th>\n",
       "      <td>13437310</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1127.33</td>\n",
       "      <td>99.60</td>\n",
       "      <td>252.70</td>\n",
       "      <td>140.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:46:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179472</th>\n",
       "      <td>13437403</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>2621.67</td>\n",
       "      <td>103.73</td>\n",
       "      <td>532.72</td>\n",
       "      <td>238.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:47:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179473</th>\n",
       "      <td>13437462</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1672.94</td>\n",
       "      <td>118.61</td>\n",
       "      <td>328.94</td>\n",
       "      <td>209.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:48:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179474</th>\n",
       "      <td>13437529</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1766.83</td>\n",
       "      <td>86.40</td>\n",
       "      <td>290.11</td>\n",
       "      <td>196.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:49:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179475</th>\n",
       "      <td>13437605</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>13</td>\n",
       "      <td>3354.25</td>\n",
       "      <td>109.35</td>\n",
       "      <td>870.09</td>\n",
       "      <td>258.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:50:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179476</th>\n",
       "      <td>13437674</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1508.23</td>\n",
       "      <td>151.89</td>\n",
       "      <td>528.19</td>\n",
       "      <td>251.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:51:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179477</th>\n",
       "      <td>13437793</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>1702.00</td>\n",
       "      <td>88.86</td>\n",
       "      <td>232.60</td>\n",
       "      <td>154.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:52:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179478</th>\n",
       "      <td>13437841</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>13</td>\n",
       "      <td>2463.45</td>\n",
       "      <td>72.93</td>\n",
       "      <td>331.06</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:53:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179479</th>\n",
       "      <td>13437931</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1525.68</td>\n",
       "      <td>123.02</td>\n",
       "      <td>476.26</td>\n",
       "      <td>254.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:54:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179480</th>\n",
       "      <td>13438006</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>13</td>\n",
       "      <td>2556.67</td>\n",
       "      <td>85.51</td>\n",
       "      <td>383.73</td>\n",
       "      <td>196.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:55:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179481</th>\n",
       "      <td>13438081</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1784.40</td>\n",
       "      <td>229.68</td>\n",
       "      <td>476.04</td>\n",
       "      <td>297.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:56:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179482</th>\n",
       "      <td>13438148</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>3338.22</td>\n",
       "      <td>110.07</td>\n",
       "      <td>1818.86</td>\n",
       "      <td>556.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:57:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179483</th>\n",
       "      <td>13438231</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>15</td>\n",
       "      <td>4589.76</td>\n",
       "      <td>129.28</td>\n",
       "      <td>1051.45</td>\n",
       "      <td>305.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:58:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179484</th>\n",
       "      <td>13438301</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1068.02</td>\n",
       "      <td>111.77</td>\n",
       "      <td>389.24</td>\n",
       "      <td>178.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 22:59:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179485</th>\n",
       "      <td>13438352</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>579.21</td>\n",
       "      <td>73.64</td>\n",
       "      <td>155.20</td>\n",
       "      <td>115.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:00:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179486</th>\n",
       "      <td>13438410</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>3005.36</td>\n",
       "      <td>109.35</td>\n",
       "      <td>543.06</td>\n",
       "      <td>273.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:01:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179487</th>\n",
       "      <td>13438531</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1324.52</td>\n",
       "      <td>63.97</td>\n",
       "      <td>335.66</td>\n",
       "      <td>165.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:02:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179488</th>\n",
       "      <td>13438548</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>2568.12</td>\n",
       "      <td>79.89</td>\n",
       "      <td>1027.96</td>\n",
       "      <td>321.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:03:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179489</th>\n",
       "      <td>13438652</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>10</td>\n",
       "      <td>2903.91</td>\n",
       "      <td>125.55</td>\n",
       "      <td>883.17</td>\n",
       "      <td>290.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:04:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179490</th>\n",
       "      <td>13438689</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>10</td>\n",
       "      <td>2533.43</td>\n",
       "      <td>155.12</td>\n",
       "      <td>359.90</td>\n",
       "      <td>253.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:05:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179491</th>\n",
       "      <td>13438800</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>2783.48</td>\n",
       "      <td>99.24</td>\n",
       "      <td>489.90</td>\n",
       "      <td>253.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:06:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179492</th>\n",
       "      <td>13438866</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>10</td>\n",
       "      <td>1951.10</td>\n",
       "      <td>85.37</td>\n",
       "      <td>529.51</td>\n",
       "      <td>195.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:07:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179493</th>\n",
       "      <td>13438917</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>494.17</td>\n",
       "      <td>103.95</td>\n",
       "      <td>211.47</td>\n",
       "      <td>164.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:08:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179494</th>\n",
       "      <td>13438981</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1798.28</td>\n",
       "      <td>101.11</td>\n",
       "      <td>433.30</td>\n",
       "      <td>199.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:09:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179495</th>\n",
       "      <td>13439086</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1017.97</td>\n",
       "      <td>74.45</td>\n",
       "      <td>298.97</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:10:21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>179496 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id                     api  count  res_time_sum  res_time_min  \\\n",
       "0         162542  /front-api/bill/create      8       1057.31         88.75   \n",
       "1         162644  /front-api/bill/create      5        749.12        103.79   \n",
       "2         162742  /front-api/bill/create      5        845.84        136.31   \n",
       "3         162808  /front-api/bill/create      9       1305.52         90.12   \n",
       "4         162943  /front-api/bill/create      3        568.89        138.45   \n",
       "5         162967  /front-api/bill/create      5        521.28         80.64   \n",
       "6         163048  /front-api/bill/create      3        464.84        115.97   \n",
       "7         163207  /front-api/bill/create      2        337.58         75.58   \n",
       "8         163290  /front-api/bill/create      5        773.22        107.14   \n",
       "9         163382  /front-api/bill/create      4        669.66        140.26   \n",
       "10        163474  /front-api/bill/create      2        284.78        137.23   \n",
       "11        163559  /front-api/bill/create      2        281.44        107.79   \n",
       "12        163738  /front-api/bill/create      5        744.09        124.09   \n",
       "13        163817  /front-api/bill/create      3        502.55        124.74   \n",
       "14        163856  /front-api/bill/create      4        606.09        110.09   \n",
       "15        163999  /front-api/bill/create      1        189.27        189.27   \n",
       "16        164086  /front-api/bill/create      2        259.86        109.71   \n",
       "17        164127  /front-api/bill/create      4        679.70        131.87   \n",
       "18        164222  /front-api/bill/create      3        431.32         86.83   \n",
       "19        164334  /front-api/bill/create      2        312.04        143.40   \n",
       "20        164449  /front-api/bill/create      1        131.97        131.97   \n",
       "21        164500  /front-api/bill/create      3        587.98        133.60   \n",
       "22        164555  /front-api/bill/create      5        765.89         86.26   \n",
       "23        164625  /front-api/bill/create      2        339.82        117.91   \n",
       "24        164727  /front-api/bill/create      4        515.23        120.84   \n",
       "25        164812  /front-api/bill/create      3        580.40        118.73   \n",
       "26        164860  /front-api/bill/create      3        471.82        104.81   \n",
       "27        165034  /front-api/bill/create      2        316.66         99.38   \n",
       "28        165136  /front-api/bill/create      4        786.39        142.04   \n",
       "29        165186  /front-api/bill/create      4        665.86        127.24   \n",
       "...          ...                     ...    ...           ...           ...   \n",
       "179466  13436928  /front-api/bill/create     11       1749.38        109.36   \n",
       "179467  13436998  /front-api/bill/create     14       3621.72        103.97   \n",
       "179468  13437067  /front-api/bill/create      8       1692.43         88.15   \n",
       "179469  13437178  /front-api/bill/create      8       2496.29         98.70   \n",
       "179470  13437254  /front-api/bill/create      4       1004.29        159.22   \n",
       "179471  13437310  /front-api/bill/create      8       1127.33         99.60   \n",
       "179472  13437403  /front-api/bill/create     11       2621.67        103.73   \n",
       "179473  13437462  /front-api/bill/create      8       1672.94        118.61   \n",
       "179474  13437529  /front-api/bill/create      9       1766.83         86.40   \n",
       "179475  13437605  /front-api/bill/create     13       3354.25        109.35   \n",
       "179476  13437674  /front-api/bill/create      6       1508.23        151.89   \n",
       "179477  13437793  /front-api/bill/create     11       1702.00         88.86   \n",
       "179478  13437841  /front-api/bill/create     13       2463.45         72.93   \n",
       "179479  13437931  /front-api/bill/create      6       1525.68        123.02   \n",
       "179480  13438006  /front-api/bill/create     13       2556.67         85.51   \n",
       "179481  13438081  /front-api/bill/create      6       1784.40        229.68   \n",
       "179482  13438148  /front-api/bill/create      6       3338.22        110.07   \n",
       "179483  13438231  /front-api/bill/create     15       4589.76        129.28   \n",
       "179484  13438301  /front-api/bill/create      6       1068.02        111.77   \n",
       "179485  13438352  /front-api/bill/create      5        579.21         73.64   \n",
       "179486  13438410  /front-api/bill/create     11       3005.36        109.35   \n",
       "179487  13438531  /front-api/bill/create      8       1324.52         63.97   \n",
       "179488  13438548  /front-api/bill/create      8       2568.12         79.89   \n",
       "179489  13438652  /front-api/bill/create     10       2903.91        125.55   \n",
       "179490  13438689  /front-api/bill/create     10       2533.43        155.12   \n",
       "179491  13438800  /front-api/bill/create     11       2783.48         99.24   \n",
       "179492  13438866  /front-api/bill/create     10       1951.10         85.37   \n",
       "179493  13438917  /front-api/bill/create      3        494.17        103.95   \n",
       "179494  13438981  /front-api/bill/create      9       1798.28        101.11   \n",
       "179495  13439086  /front-api/bill/create      6       1017.97         74.45   \n",
       "\n",
       "        res_time_max  res_time_avg  interval           created_at  \n",
       "0             177.72         132.0        60  2017-11-01 00:00:07  \n",
       "1             240.38         149.0        60  2017-11-01 00:01:07  \n",
       "2             225.73         169.0        60  2017-11-01 00:02:07  \n",
       "3             196.61         145.0        60  2017-11-01 00:03:07  \n",
       "4             232.02         189.0        60  2017-11-01 00:04:07  \n",
       "5             126.17         104.0        60  2017-11-01 00:05:07  \n",
       "6             224.42         154.0        60  2017-11-01 00:06:07  \n",
       "7             262.00         168.0        60  2017-11-01 00:07:07  \n",
       "8             207.33         154.0        60  2017-11-01 00:08:07  \n",
       "9             225.21         167.0        60  2017-11-01 00:09:07  \n",
       "10            147.55         142.0        60  2017-11-01 00:10:07  \n",
       "11            173.65         140.0        60  2017-11-01 00:11:07  \n",
       "12            184.19         148.0        60  2017-11-01 00:13:07  \n",
       "13            228.34         167.0        60  2017-11-01 00:14:07  \n",
       "14            219.45         151.0        60  2017-11-01 00:15:07  \n",
       "15            189.27         189.0        60  2017-11-01 00:16:07  \n",
       "16            150.15         129.0        60  2017-11-01 00:17:07  \n",
       "17            215.20         169.0        60  2017-11-01 00:18:07  \n",
       "18            240.35         143.0        60  2017-11-01 00:19:07  \n",
       "19            168.64         156.0        60  2017-11-01 00:20:07  \n",
       "20            131.97         131.0        60  2017-11-01 00:21:07  \n",
       "21            299.42         195.0        60  2017-11-01 00:22:07  \n",
       "22            215.45         153.0        60  2017-11-01 00:23:07  \n",
       "23            221.91         169.0        60  2017-11-01 00:24:07  \n",
       "24            142.90         128.0        60  2017-11-01 00:25:07  \n",
       "25            240.84         193.0        60  2017-11-01 00:26:07  \n",
       "26            200.54         157.0        60  2017-11-01 00:27:07  \n",
       "27            217.28         158.0        60  2017-11-01 00:29:07  \n",
       "28            233.86         196.0        60  2017-11-01 00:30:07  \n",
       "29            212.55         166.0        60  2017-11-01 00:31:07  \n",
       "...              ...           ...       ...                  ...  \n",
       "179466        219.32         159.0        60  2018-05-30 22:41:21  \n",
       "179467       1194.12         258.0        60  2018-05-30 22:42:21  \n",
       "179468        493.56         211.0        60  2018-05-30 22:43:21  \n",
       "179469        946.82         312.0        60  2018-05-30 22:44:21  \n",
       "179470        342.42         251.0        60  2018-05-30 22:45:21  \n",
       "179471        252.70         140.0        60  2018-05-30 22:46:21  \n",
       "179472        532.72         238.0        60  2018-05-30 22:47:21  \n",
       "179473        328.94         209.0        60  2018-05-30 22:48:21  \n",
       "179474        290.11         196.0        60  2018-05-30 22:49:21  \n",
       "179475        870.09         258.0        60  2018-05-30 22:50:21  \n",
       "179476        528.19         251.0        60  2018-05-30 22:51:21  \n",
       "179477        232.60         154.0        60  2018-05-30 22:52:21  \n",
       "179478        331.06         189.0        60  2018-05-30 22:53:21  \n",
       "179479        476.26         254.0        60  2018-05-30 22:54:21  \n",
       "179480        383.73         196.0        60  2018-05-30 22:55:21  \n",
       "179481        476.04         297.0        60  2018-05-30 22:56:21  \n",
       "179482       1818.86         556.0        60  2018-05-30 22:57:21  \n",
       "179483       1051.45         305.0        60  2018-05-30 22:58:21  \n",
       "179484        389.24         178.0        60  2018-05-30 22:59:21  \n",
       "179485        155.20         115.0        60  2018-05-30 23:00:21  \n",
       "179486        543.06         273.0        60  2018-05-30 23:01:21  \n",
       "179487        335.66         165.0        60  2018-05-30 23:02:21  \n",
       "179488       1027.96         321.0        60  2018-05-30 23:03:21  \n",
       "179489        883.17         290.0        60  2018-05-30 23:04:21  \n",
       "179490        359.90         253.0        60  2018-05-30 23:05:21  \n",
       "179491        489.90         253.0        60  2018-05-30 23:06:21  \n",
       "179492        529.51         195.0        60  2018-05-30 23:07:21  \n",
       "179493        211.47         164.0        60  2018-05-30 23:08:21  \n",
       "179494        433.30         199.0        60  2018-05-30 23:09:21  \n",
       "179495        298.97         169.0        60  2018-05-30 23:10:21  \n",
       "\n",
       "[179496 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_table('log.txt', names=['id', 'api', 'count', 'res_time_sum', 'res_time_min', 'res_time_max', 'res_time_avg', 'interval', 'created_at'])\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>162542</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1057.31</td>\n",
       "      <td>88.75</td>\n",
       "      <td>177.72</td>\n",
       "      <td>132.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:00:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>162644</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>749.12</td>\n",
       "      <td>103.79</td>\n",
       "      <td>240.38</td>\n",
       "      <td>149.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:01:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>162742</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>845.84</td>\n",
       "      <td>136.31</td>\n",
       "      <td>225.73</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:02:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>162808</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1305.52</td>\n",
       "      <td>90.12</td>\n",
       "      <td>196.61</td>\n",
       "      <td>145.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:03:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>162943</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>568.89</td>\n",
       "      <td>138.45</td>\n",
       "      <td>232.02</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:04:07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id                     api  count  res_time_sum  res_time_min  \\\n",
       "0  162542  /front-api/bill/create      8       1057.31         88.75   \n",
       "1  162644  /front-api/bill/create      5        749.12        103.79   \n",
       "2  162742  /front-api/bill/create      5        845.84        136.31   \n",
       "3  162808  /front-api/bill/create      9       1305.52         90.12   \n",
       "4  162943  /front-api/bill/create      3        568.89        138.45   \n",
       "\n",
       "   res_time_max  res_time_avg  interval           created_at  \n",
       "0        177.72         132.0        60  2017-11-01 00:00:07  \n",
       "1        240.38         149.0        60  2017-11-01 00:01:07  \n",
       "2        225.73         169.0        60  2017-11-01 00:02:07  \n",
       "3        196.61         145.0        60  2017-11-01 00:03:07  \n",
       "4        232.02         189.0        60  2017-11-01 00:04:07  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 检测是否有重复值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 检测是否有异常值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.794960e+05</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.866490e+06</td>\n",
       "      <td>7.175909</td>\n",
       "      <td>1393.177370</td>\n",
       "      <td>108.419620</td>\n",
       "      <td>359.880351</td>\n",
       "      <td>187.812208</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.686579e+06</td>\n",
       "      <td>4.325160</td>\n",
       "      <td>1499.485881</td>\n",
       "      <td>79.640559</td>\n",
       "      <td>638.919769</td>\n",
       "      <td>224.464813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.625420e+05</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>36.550000</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>36.550000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.825183e+06</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>607.707500</td>\n",
       "      <td>83.410000</td>\n",
       "      <td>198.280000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.811432e+06</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1154.905000</td>\n",
       "      <td>97.120000</td>\n",
       "      <td>256.090000</td>\n",
       "      <td>167.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.981397e+06</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1834.117500</td>\n",
       "      <td>116.990000</td>\n",
       "      <td>374.410000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.343909e+07</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>142650.550000</td>\n",
       "      <td>18896.640000</td>\n",
       "      <td>142468.270000</td>\n",
       "      <td>71325.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id          count   res_time_sum   res_time_min  \\\n",
       "count  1.794960e+05  179496.000000  179496.000000  179496.000000   \n",
       "mean   6.866490e+06       7.175909    1393.177370     108.419620   \n",
       "std    3.686579e+06       4.325160    1499.485881      79.640559   \n",
       "min    1.625420e+05       1.000000      36.550000       3.210000   \n",
       "25%    3.825183e+06       4.000000     607.707500      83.410000   \n",
       "50%    6.811432e+06       7.000000    1154.905000      97.120000   \n",
       "75%    9.981397e+06      10.000000    1834.117500     116.990000   \n",
       "max    1.343909e+07      31.000000  142650.550000   18896.640000   \n",
       "\n",
       "        res_time_max   res_time_avg  interval  \n",
       "count  179496.000000  179496.000000  179496.0  \n",
       "mean      359.880351     187.812208      60.0  \n",
       "std       638.919769     224.464813       0.0  \n",
       "min        36.550000      36.000000      60.0  \n",
       "25%       198.280000     144.000000      60.0  \n",
       "50%       256.090000     167.000000      60.0  \n",
       "75%       374.410000     202.000000      60.0  \n",
       "max    142468.270000   71325.000000      60.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据没有重复值和异常值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析api和interval这两列的数据是否对分析有⽤"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100923</td>\n",
       "      <td>0.201949</td>\n",
       "      <td>0.027322</td>\n",
       "      <td>0.165685</td>\n",
       "      <td>0.114752</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>0.100923</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.615487</td>\n",
       "      <td>-0.241355</td>\n",
       "      <td>0.181619</td>\n",
       "      <td>0.043127</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>res_time_sum</th>\n",
       "      <td>0.201949</td>\n",
       "      <td>0.615487</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.102630</td>\n",
       "      <td>0.767157</td>\n",
       "      <td>0.608674</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>res_time_min</th>\n",
       "      <td>0.027322</td>\n",
       "      <td>-0.241355</td>\n",
       "      <td>0.102630</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.182556</td>\n",
       "      <td>0.435533</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>res_time_max</th>\n",
       "      <td>0.165685</td>\n",
       "      <td>0.181619</td>\n",
       "      <td>0.767157</td>\n",
       "      <td>0.182556</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.827413</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>res_time_avg</th>\n",
       "      <td>0.114752</td>\n",
       "      <td>0.043127</td>\n",
       "      <td>0.608674</td>\n",
       "      <td>0.435533</td>\n",
       "      <td>0.827413</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interval</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id     count  res_time_sum  res_time_min  res_time_max  \\\n",
       "id            1.000000  0.100923      0.201949      0.027322      0.165685   \n",
       "count         0.100923  1.000000      0.615487     -0.241355      0.181619   \n",
       "res_time_sum  0.201949  0.615487      1.000000      0.102630      0.767157   \n",
       "res_time_min  0.027322 -0.241355      0.102630      1.000000      0.182556   \n",
       "res_time_max  0.165685  0.181619      0.767157      0.182556      1.000000   \n",
       "res_time_avg  0.114752  0.043127      0.608674      0.435533      0.827413   \n",
       "interval           NaN       NaN           NaN           NaN           NaN   \n",
       "\n",
       "              res_time_avg  interval  \n",
       "id                0.114752       NaN  \n",
       "count             0.043127       NaN  \n",
       "res_time_sum      0.608674       NaN  \n",
       "res_time_min      0.435533       NaN  \n",
       "res_time_max      0.827413       NaN  \n",
       "res_time_avg      1.000000       NaN  \n",
       "interval               NaN       NaN  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['api', 'interval'], axis=1)    # 丢弃无用数据api和interval"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### api和interval这两列数据对分析无用"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## created_at这⼀列的数据作为时间索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:00:07</th>\n",
       "      <td>162542</td>\n",
       "      <td>8</td>\n",
       "      <td>1057.31</td>\n",
       "      <td>88.75</td>\n",
       "      <td>177.72</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:01:07</th>\n",
       "      <td>162644</td>\n",
       "      <td>5</td>\n",
       "      <td>749.12</td>\n",
       "      <td>103.79</td>\n",
       "      <td>240.38</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:02:07</th>\n",
       "      <td>162742</td>\n",
       "      <td>5</td>\n",
       "      <td>845.84</td>\n",
       "      <td>136.31</td>\n",
       "      <td>225.73</td>\n",
       "      <td>169.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:03:07</th>\n",
       "      <td>162808</td>\n",
       "      <td>9</td>\n",
       "      <td>1305.52</td>\n",
       "      <td>90.12</td>\n",
       "      <td>196.61</td>\n",
       "      <td>145.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:04:07</th>\n",
       "      <td>162943</td>\n",
       "      <td>3</td>\n",
       "      <td>568.89</td>\n",
       "      <td>138.45</td>\n",
       "      <td>232.02</td>\n",
       "      <td>189.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id  count  res_time_sum  res_time_min  res_time_max  \\\n",
       "created_at                                                                     \n",
       "2017-11-01 00:00:07  162542      8       1057.31         88.75        177.72   \n",
       "2017-11-01 00:01:07  162644      5        749.12        103.79        240.38   \n",
       "2017-11-01 00:02:07  162742      5        845.84        136.31        225.73   \n",
       "2017-11-01 00:03:07  162808      9       1305.52         90.12        196.61   \n",
       "2017-11-01 00:04:07  162943      3        568.89        138.45        232.02   \n",
       "\n",
       "                     res_time_avg  \n",
       "created_at                         \n",
       "2017-11-01 00:00:07         132.0  \n",
       "2017-11-01 00:01:07         149.0  \n",
       "2017-11-01 00:02:07         169.0  \n",
       "2017-11-01 00:03:07         145.0  \n",
       "2017-11-01 00:04:07         189.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.set_index('created_at')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析api调⽤次数情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "df['2017-11-05 00:00:07':'2017-11-06 00:00:07']['count'].plot()    # 绘制一天访问量折线图\n",
    "plt.xlim(0, 880)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 经分析，每天的01:00-05:00访问较少，业务高峰在8:00-11:00和20:00-23:00"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析⼀天中api响应时间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "df['2017-11-05 00:00:07':'2017-11-06 00:00:07':30]['res_time_avg'].plot()\n",
    "df['2017-11-05 00:00:07':'2017-11-06 00:00:07':30]['res_time_max'].plot()\n",
    "df['2017-11-05 00:00:07':'2017-11-06 00:00:07':30]['res_time_min'].plot()\n",
    "plt.legend() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析连续的⼏天数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "df['2017-11-05 00:00:07':'2017-11-15 00:00:07']['count'].plot()\n",
    "plt.xlim(0, 8800)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析周末访问量是否有增加"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "df['2018-05-22 00:00:07':'2018-05-23 00:00:07':60]['count'].plot(label='False')\n",
    "df['2018-05-27 00:00:07':'2018-05-28 00:00:07':60]['count'].plot(label='True')\n",
    "plt.legend() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
